Differentially Private Synthetic Data

This project seeks to advance methods for generating and working with differentially private synthetic data.

We recently presented a paper at VLDB 2022.

Topology and Explainable Machine Learning

This project studies connections between the inherent definability of rule-based explanations of classifiers and definability in topology and seeks to provide a formal grounding for applied explanation methods such as Anchors and LORE.

In Fall 2021, I gave a talk at the UMass CS Theory Seminar.

Earnings Mobility and SNAP Participation in Georgia

This project investigates earnings mobility among SNAP participants using linked administrative data from the State of Georgia. The goal of this work is to better understand the earnings mobility of low-income populations and how participation in government benefits programs affects one’s earnings, especially during economic downturns such as the Great Recession.

Results from this project were presented at the National Tax Association’s Annual Conference, the Next Generation of Public Finance conference, the International Conference on Administrative Data Research and discussed on WABE, Atlanta’s NPR affiliate. Our latest results were recently published in Social Science Quarterly.

To enable practitioners to easily work with mobility indices, we’ve developed an R package called mobilityIndexR that can be found on CRAN.

This project is in collaboration with my colleagues at the Fiscal Research Center at Georgia State University.

Infinite Cycles and the Regress Problem

This project aims to bring the recent work of Diestel and collaborators on the topological approach to infinite cycles in graphs to bear on the program of Atkinson and Peijnenburg in analyzing the justification structure of infinite chains and infinite cycles of reasoning from a probabilistic and epistemological perspective.

A draft of initial results is here.

New results from this approach were presented at the 2019 Society for Exact Philosophy conference. See the deck for this conference here.

Updated: 09/22